Study on application of channel estimation algorithms in OFDM underwater acoustic communication
Chang Qingwen
Abstract
Chang Qingwen
Abstract
The precision and validity of channel estimation are the assurance of OFDM(Orthogonal Frequency Division Multiplexing)underwater acoustic communication system with good performance. LS-MP(Least Square, Matching Pursuit)channel estimation algorithm based on Compressive Sensing(CS)is studied using the sparsity of the underwater acoustic channel, after the research of the LS and LMMSE(Linear Minimum Mean Square Error)channel estimation algorithm. And the simulink with LS, LMMSE and LS-MP baed on CS in OFDM underwater communication system is done respectively. The performance of these algorithms is analyzed and compared.
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The precision and validity of channel estimation are the assurance of OFDM(Orthogonal Frequency Division Multiplexing)underwater acoustic communication system with good performance. LS-MP(Least Square, Matching Pursuit)channel estimation algorithm based on Compressive Sensing(CS)is studied using the sparsity of the underwater acoustic channel, after the research of the LS and LMMSE(Linear Minimum Mean Square Error)channel estimation algorithm. And the simulink with LS, LMMSE and LS-MP baed on CS in OFDM underwater communication system is done respectively. The performance of these algorithms is analyzed and compared.
Key concepts: Orthogonal frequency-division multiplexing, Channel (broadcasting), Underwater acoustic communication, Underwater, Algorithm, Computer science, Minimum mean square error, Matching pursuit